Illustrative Visualization (ITCS6124 & ITCS8124)
Illustrative Visualization is an introduction course to data science of many real-life datasets, such as networks, images, scientific datasets, geographical datasets,
bioinformatics datasets, time-varying datasets, multivariate datasets, and streaming data.
The course will cover the state-of-the-art of illustrative visualization techniques, which transform large-scale, complex datasets to succinct and informative visualization styles and preserve important data features at the same time.
We will provide a number of example applications to teach students how to solve data problems by designing, implementing, and evaluating effective visualization and visual analytics approaches.
D3 - web-based visualization
The class will also provide students opportunities to work with Oculus Rift (https://www.oculus.com/en-us/rift/) and Microsoft HoloLens (https://www.microsoft.com/microsoft-hololens/en-us), design, develop, and evaluate visualization modules.
Mixed lectures and student participations
Design, implementation, and evaluation projects, survey paper, visualization critique, and paper presentation.
No textbook. Online resources will be used.
Questions are welcome through email.